CS1674/2074: Introduction to Computer Vision, Fall 2025
Location (class): SENSQ 5129
Class time: Tuesday and Thrusday, 2:30pm - 3:45pm
Instructor: Nils Murrugarra (email: nem177 AT pitt DOT edu; use “[CS 1674]” at the beginning of the subject line)
Instructor’s office hours: Tue 9:30-11:30 am and Th 4-5pm
Instructor’s office: SENSQ 5419
TA: Zhimeng Luo ( ZHL123 AT pitt DOT edu )
TA’s office hours: Wed 12-1pm @ IS 707, Th 4-6 pm @ zoom
Canvas: used for announcements and assignment submission
Schedule
| Date | Chapter | Slides | Homework |
|---|---|---|---|
| 08/26 | Intro | Intro_course [pdf] [pptx] | |
| 08/28 | Linear_algebra [pdf] [pptx] | ||
| 09/02 | Lab 1: Python tutorial | A1: Python on canvas | |
| 09/04 | Low-level Vision | Intro_cv [pdf] [pptx] Filters and Texture [pdf] [pptx] |
|
| 09/09 | Filters and Texture Lab 2: Filters |
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| 09/11 | Filters and Texture | A2: Filters on canvas | |
| 09/16 | Features [pdf] [pptx] Lab 3: SIFT |
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| 09/18 | Grouping [pdf] [pptx] | A3: SIFT on canvas | |
| 09/23 | High-level Vision | Lab 4: K-means Intro to Recognition [pdf] [pptx] |
|
| 09/25 | Intro to Recognition Lab 5: SVM |
A4: K-Means on canvas | |
| 09/30 | Intro to Recognition Neural Networks [pdf] [pptx] Lab 6: Pytorch |
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| 10/02 | Neural Networks Lab 7: Gradient Descent |
A5: SVM on canvas | |
| 10/07 | Neural Networks | ||
| 10/09 | Exam 1 Review |